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Visualize remaining training time when fitting a GLM object. #379
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GLM objects can show the current training progress statistics (remaining time, iterations/sec, etc.). This is true also for GLMCV objects. * Add tqdm (https://github.com/tqdm/tqdm/) as requirement.
I think you might be able to achieve this using |
I'm not very familiar with the |
GLM objects can show the current training progress statistics (remaining time, iterations/sec, etc.). This is true also for GLMCV objects. * Use tqdm (https://github.com/tqdm/tqdm/) if available. If it is not available, then we use the non-interactive version instead.
GLM objects can show the current training progress statistics (remaining time, iterations/sec, etc.). This is true also for GLMCV objects. * Use tqdm (https://github.com/tqdm/tqdm/) if available. If it is not available, then we use the non-interactive version instead.
GLM objects can show the current training progress statistics (remaining time, iterations/sec, etc.). This is true also for GLMCV objects. * Use tqdm (https://github.com/tqdm/tqdm/) if available. If it is not available, then we use the non-interactive version instead. * Use tqdm.auto to easily switch automatically from command line to notebook. * Update what's new section.
GLM objects can show the current training progress statistics (remaining time, iterations/sec, etc.). This is true also for GLMCV objects. * Use tqdm (https://github.com/tqdm/tqdm/) if available. If it is not available, then we use the non-interactive version instead. * Use tqdm.auto to easily switch automatically from command line to notebook. * Update What's New section.
GLM objects can show the current training progress statistics (remaining time, iterations/sec, etc.). This is true also for GLMCV objects. * Use tqdm (https://github.com/tqdm/tqdm/) if available. If it is not available, then we use the non-interactive version instead. * Use tqdm.auto to easily switch automatically from command line to notebook. * Update What's New section.
GLM objects can show the current training progress statistics (remaining time, iterations/sec, etc.). This is true also for GLMCV objects. * Use tqdm (https://github.com/tqdm/tqdm/) if available. If it is not available, then we use the non-interactive version instead. * Use tqdm.auto to easily switch automatically from command line to notebook. * Add _verbose_iterable method which converts a list into a tqdm iterator. * Add _tqdm_log method to pretty print information while inside a tqdm loop. * Update What's New section.
GLM objects can show the current training progress statistics (remaining time, iterations/sec, etc.). This is true also for GLMCV objects. * Use tqdm (https://github.com/tqdm/tqdm/) if available. If it is not available, then we use the non-interactive version instead. * Use tqdm.auto to easily switch automatically from command line to notebook. * Add _verbose_iterable method which converts a list into a tqdm iterator. * Add _tqdm_log method to pretty print information while inside a tqdm loop. * Update What's New section.
Add |
When training a model it would be beneficial to visualize some kind of progress bar to understand how much time it will take to complete all the iterations (at least if we do not converge).
For instance, this feature could be easily added by wrapping a
range
object withtqdm
(https://github.com/tqdm/tqdm). A flag could be then passed to theGLM
object to enable/disable this feature.Any thoughts on this?
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